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Premise Data Corporation

Head of Revenue Operations

Premise Data Corporation, New York, New York, us, 10261


We all know every decision should be driven by data. But what about the data you don’t know? For years, the status quo in data-driven insights has lacked visibility, moved slowly, and cost too much. Leaving organizations to make critical decisions, day after day, without the whole picture. Premise changes that.

Across 140 countries and counting, our marketplace connects communities of global smartphone users to source actionable data in real-time, cost-effectively, and with the visibility needed by leaders in some of the largest organizations on earth.

With Premise, organizations win. And communities win, too. People can earn more from their opinions and discoveries. They can influence their cities for the better. And, unlike other data sourcing methods out there, they can do it all with full transparency that the data they’re gathering is going to an organization that values it, and values them.

Position Summary

Premise is growing, and we are looking to add a

Head of Revenue Operations

to our high performing team. This role is a key leadership position central for driving the revenue growth of the company. The primary objective of this position is to optimize the company's revenue operations and ensure efficient and effective revenue generation, from lead generation to deal closure. The ideal candidate will be a strategic thinker with a deep understanding of revenue operations, sales processes, and go-to-market strategies.

*This is an onsite position based out of our NYC office 5 days/week.

What You Will Do

Lead Revenue Operations across commercial and public sector organizations.

Lead, manage, and coach the Revenue Operations team to drive revenue growth, including sales operations, business operations, revenue analytics, and deal desk functions.

Develop, implement, and maintain sales processes and go-to-market strategies to support revenue growth and sales effectiveness.

Collaborate with cross-functional teams, including Sales, Marketing, Finance, Legal, and Product, to ensure alignment and optimize revenue operations.

Develop and maintain metrics to track and report on revenue performance, identify trends, and provide insights to senior leadership.

Analyze sales pipeline data to identify opportunities for improvement in sales processes, pipeline management, and forecasting accuracy.

Work closely with sales leadership to develop and implement sales training programs, enablement tools, and processes to improve sales effectiveness.

Manage the deal desk function, ensuring timely and accurate deal pricing, approval, and execution.

Implement and maintain revenue recognition policies and procedures in accordance with GAAP and company policies.

Drive the adoption and utilization of sales technology tools, such as CRM, sales automation, and reporting tools.

Sales Model/Business Planning

Work between the finance team and sales leadership on the financial sales model with key assumptions articulated (e.g., Avg Contract Value, Sales Velocity, etc.) for a 'bottoms up' build to revenue numbers. Must be good with basic modeling in Google Sheets and ability to collaborate with key folks.

Pipeline Analytics & Management

Must have a very deep familiarity with running sophisticated analysis of pipeline around each key assumption in the business model (e.g., ACVs, Sales Velocity, etc.). Strong preference for someone with SQL experience and a familiarity with pulling data out of Salesforce and other locations for dashboarding in Looker.

Benchmarking & Enablement

Ability to translate the 'up/out' analytics into action items, benchmarking, and coaching for BDEs.

Learning Organization

Strong familiarity with Gong, Outreach, and other tools and experience with configuring those tools for alerts and learning from customer interactions.

What You Bring Along

High facility selecting, instrumenting, and optimizing RevOps tech stack.

Excellent data analytic skills.

8+ years of experience in revenue operations or sales operations.

Strong analytical skills and experience in revenue forecasting, pipeline management, and sales reporting.

Excellent communication, interpersonal, and leadership skills.

Ability to develop and maintain effective relationships with key stakeholders.

Understanding of revenue recognition principles for SaaS, DaaS, or similar businesses.

Strong business acumen and strategic thinking skills.

Ability to manage multiple projects and priorities in a fast-paced environment.

Extras

Experience with Gong.

Experience with SQL, Looker, Periscope, SI Sense.

Spanish fluency.

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